ID
45160
Description
Principal Investigator: Mark A. Rubin, MD, Weill Cornell Medical College, New York, NY, USA MeSH: Prostatic Neoplasms https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000311 We have developed FusionSeq to identify fusion transcripts from paired-end RNA-sequencing. FusionSeq includes filters to remove spurious candidate fusions with artifacts such as misalignments or random pairing of transcript fragments and it ranks candidates according to several statistics. It also has a module to identify exact sequences at breakpoint junctions. FusionSeq detected known and novel fusions in a specially sequenced calibration data set, including 8 cancers with and without known rearrangements.
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Versions (2)
- 28/08/2022 28/08/2022 - Simon Heim
- 12/10/2022 12/10/2022 - Adrian Schulz
Détendeur de droits
Mark A. Rubin, MD, Weill Cornell Medical College, New York, NY, USA
Téléchargé le
12 octobre 2022
DOI
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Licence
Creative Commons BY 4.0
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dbGaP phs000311 FusionSeq: Finding Fusions with Paired-End RNA-Seq
Sample ID and sample source of participants with prostate cancer.
- StudyEvent: SEV1
- Eligibility Criteria
- Subject ID, subject source, consent group, and affection status of participants with prostate cancer.
- Sample ID and sample source of participants with prostate cancer.
- Subject age, height, and family history of participants with prostate cancer.
- Sample ID, sample and tumor characteristics including tumor stage, grade, location, and sample type of participants with prostate cancer.
Similar models
Sample ID and sample source of participants with prostate cancer.
- StudyEvent: SEV1
- Eligibility Criteria
- Subject ID, subject source, consent group, and affection status of participants with prostate cancer.
- Sample ID and sample source of participants with prostate cancer.
- Subject age, height, and family history of participants with prostate cancer.
- Sample ID, sample and tumor characteristics including tumor stage, grade, location, and sample type of participants with prostate cancer.
C2348585 (UMLS CUI [1,2])
C2348585 (UMLS CUI [1,2])
C2348585 (UMLS CUI [1,2])